Lead Data Engineer

Requirements:

• 10-15 years of experience in Data Engineering, with experience delivering enterprise-scale data platforms.
• Strong expertise in Databricks, Apache Spark (PySpark), Python, and SQL.
• Hands-on experience building cloud-native data platforms on AWS.
• Strong understanding of distributed data processing, Lakehouse architecture, ETL/ELT, and modern data engineering practices.
• Experience designing scalable data models and optimising large-scale data pipelines.
• Strong software engineering fundamentals, including Git, CI/CD, testing, and code quality.
• Excellent communication skills with the ability to influence stakeholders and lead technical discussions.
• Strong team leadership experience.